A Calibration of Coefficient in the Multi-bandwidth Images

Given quantization and clustering classification of the deviations between TM and ETM+ multi- bandwidth images based on approved thresholds, a calibration algorithm for the correlation coefficient in multi-bandwidth images is suggested in this paper. This experiment detected strong and proportional...

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Published in2007 International Conference on Convergence Information Technology (ICCIT 2007) pp. 43 - 47
Main Authors Hyung Moo Kim, Dong Min Seo, Jae Soo Yoo, Kang Soo You, Hoon Sung Kwak
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2007
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Abstract Given quantization and clustering classification of the deviations between TM and ETM+ multi- bandwidth images based on approved thresholds, a calibration algorithm for the correlation coefficient in multi-bandwidth images is suggested in this paper. This experiment detected strong and proportional correlation relationship between the highest area of land surface temperature and the lowest area of vegetation index.
AbstractList Given quantization and clustering classification of the deviations between TM and ETM+ multi- bandwidth images based on approved thresholds, a calibration algorithm for the correlation coefficient in multi-bandwidth images is suggested in this paper. This experiment detected strong and proportional correlation relationship between the highest area of land surface temperature and the lowest area of vegetation index.
Author Hyung Moo Kim
Dong Min Seo
Jae Soo Yoo
Kang Soo You
Hoon Sung Kwak
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Snippet Given quantization and clustering classification of the deviations between TM and ETM+ multi- bandwidth images based on approved thresholds, a calibration...
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StartPage 43
SubjectTerms Calibration
Cities and towns
Equations
Land surface
Land surface temperature
Ocean temperature
Remote sensing
Satellites
Temperature sensors
Vegetation mapping
Title A Calibration of Coefficient in the Multi-bandwidth Images
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